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import streamlit as st | |
import numpy as np | |
import plotly.express as px | |
import pandas as pd | |
import plotly.graph_objects as go | |
st.set_page_config(page_title="Plotly Graphing Libraries",layout='wide') | |
# https://plotly.com/python/treemaps/ | |
df = px.data.tips() | |
fig = px.treemap(df, path=[px.Constant("all"), 'sex', 'day', 'time'], | |
values='total_bill', color='time', | |
color_discrete_map={'(?)':'lightgrey', 'Lunch':'gold', 'Dinner':'darkblue'}) | |
fig.update_layout(margin = dict(t=50, l=25, r=25, b=25)) | |
#fig.show() | |
fig.update_traces(marker=dict(cornerradius=5)) | |
st.plotly_chart(fig, use_container_width=True) | |
df = px.data.gapminder().query("year == 2007") | |
fig = px.treemap(df, path=[px.Constant("world"), 'continent', 'country'], values='pop', | |
color='lifeExp', hover_data=['iso_alpha'], | |
color_continuous_scale='RdBu', | |
color_continuous_midpoint=np.average(df['lifeExp'], weights=df['pop'])) | |
fig.update_layout(margin = dict(t=50, l=25, r=25, b=25)) | |
#fig.show() | |
st.plotly_chart(fig, use_container_width=True) | |
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/96c0bd/sunburst-coffee-flavors-complete.csv') | |
fig = go.Figure(go.Treemap( | |
ids = df.ids, | |
labels = df.labels, | |
parents = df.parents, | |
pathbar_textfont_size=15, | |
root_color="lightgrey" | |
)) | |
fig.update_layout( | |
uniformtext=dict(minsize=10, mode='hide'), | |
margin = dict(t=50, l=25, r=25, b=25) | |
) | |
#fig.show() | |
st.plotly_chart(fig, use_container_width=True) | |
df = pd.read_pickle('bloom_dataset.pkl') | |
fig = px.treemap(df, path=[px.Constant("ROOTS"), 'Macroarea', 'Family', 'Genus', 'Language', 'dataset_name'], | |
values='num_bytes', maxdepth=4) | |
fig.update_traces(root_color="pink") | |
fig.update_layout(margin = dict(t=50, l=25, r=25, b=25)) | |
st.plotly_chart(fig, use_container_width=True) | |